Skip to main content

Table 1 Accuracy (mean±standard deviation) of GM-SMCC and EGM-SMCC against different label ratio on problem (1) of KDD Cup 2001.

From: Semi-supervised multi-label collective classification ensemble for functional genomics

label ratio

GM-SMCC-1

GM-SMCC-2

GM-SMCC-3

GM-SMCC-mean

EGM-SMCC

3%

0.827 ± 0.031

0.805 ± 0.009

0.771 ± 0.008

0.789 ± 0.007

0.834 ± 0.020

4%

0.833 ± 0.021

0.813 ± 0.026

0.805 ± 0.016

0.800 ± 0.006

0.845 ± 0.027

5%

0.843 ± 0.008

0.802 ± 0.018

0.804 ± 0.024

0.803 ± 0.016

0.843 ± 0.012

6%

0.846 ± 0.004

0.807 ± 0.023

0.790 ± 0.017

0.818 ± 0.003

0.849 ± 0.013

7%

0.846 ± 0.002

0.827 ± 0.018

0.812 ± 0.019

0.845 ± 0.005

0.868 ± 0.013

8%

0.852 ± 0.002

0.813 ± 0.011

0.817 ± 0.030

0.845 ± 0.002

0.860 ± 0.008

9%

0.857 ± 0.020

0.831 ± 0.014

0.826 ± 0.022

0.853 ± 0.004

0.872 ± 0.011

10%

0.858 ± 0.017

0.831 ± 0.014

0.846 ± 0.012

0.855 ± 0.007

0.874 ± 0.006